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Inexact Dual-Primal Isogeometric Tearing and Interconnecting Methods

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Domain Decomposition Methods in Science and Engineering XXIV (DD 2017)

Part of the book series: Lecture Notes in Computational Science and Engineering ((LNCSE,volume 125))

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Abstract

In Isogeometric Analysis (IgA), non-trivial computational domains are often composed of volumetric patches where each of them is discretized by means of tensor-product B-splines or NURBS. In such a setting, the dual-primal IsogEometric Tearing and Interconnecting (IETI-DP) method, that is nothing but the generalization of the FETI-DP method to IgA, has proven to be a very efficient solver for huge systems of IgA equations. Using IETI-DP, basically any patch-local solver can be extended to the global problem. So far, only direct solvers have been considered as patch-local solvers. In the present paper, we compare them with the option of using robust multigrid as patch-local solver. This is of special interest for large-scale patch-local systems or/and for large spline degrees, because the convergence of standard smoothers deteriorates with large spline degrees and the robust multigrid smoother chosen is only available on tensor-product discretizations.

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Notes

  1. 1.

    G+Smo (Geometry plus Simulation modules) v0.8.1, http://gs.jku.at/gismo.

  2. 2.

    Our code is compiled with the gcc 4.8.3 compiler with optimization flag -O3. The results are obtain on the RADON1 cluster at Linz. We use a single core of a node, equipped with 2x Xeon E5-2630v3 “Haswell” CPU (8 Cores, 2.4 GHz, 20 MB Cache) and 128 GB RAM.

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Acknowledgements

This work was supported by the Austrian Science Fund (FWF) under the grant W1214, project DK4, and via the NFN project S117-03. This support is gratefully acknowledged.

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Correspondence to Christoph Hofer , Ulrich Langer or Stefan Takacs .

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Hofer, C., Langer, U., Takacs, S. (2018). Inexact Dual-Primal Isogeometric Tearing and Interconnecting Methods. In: Bjørstad, P., et al. Domain Decomposition Methods in Science and Engineering XXIV . DD 2017. Lecture Notes in Computational Science and Engineering, vol 125. Springer, Cham. https://doi.org/10.1007/978-3-319-93873-8_37

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